Papers

13

Total Citations

712

H-Index

8

About

Paul Leseman is a prominent educational researcher whose work sits at the intersection of language acquisition, early childhood learning, and human-robot interaction. He is best known for his pioneering contributions to the field of robot-assisted language learning (RALL), exploring how social robots can serve as effective tutors for young children acquiring second languages. Leseman's most influential work includes a landmark 2018 review of social robots in language learning (356 citations), which helped define and systematize the rapidly emerging RALL field, and a large-scale empirical study (2019, 137 citations) demonstrating that robots can effectively teach English vocabulary to young children across multiple sessions. His research has tackled nuanced questions about *why* robot tutoring works — examining children's anthropomorphic beliefs about robots, the role of individual learning differences, and the potential of robots to deliver personalized first-language support in linguistically diverse classrooms, such as providing Turkish translations for Dutch learners. Beyond effectiveness, Leseman's team has investigated child engagement, non-verbal cues, and gesture design in robot interactions, producing a rich, multidimensional body of work. His contributions have been instrumental in establishing evidence-based foundations for educational robotics, making him a defining voice in early childhood language technology research.

Research Focus

Key Achievements

8
H-Index
13
Papers
712
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Social Robots for Language Learning: A Review
356 citations · 2018
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Utrecht University, University of Applied Sciences Utrecht

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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